Conditional Data Connections for Reliable Industrial Asset Models
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Solution Overview
Problem
Industrial automation systems face challenges in efficiently managing and analyzing industrial data, particularly in establishing reliable data connections and paths for optimal data extraction and analysis, which affects the quality and reliability of industrial asset modeling.
Innovation Solution
A system comprising a processor and memory that determines data connection conditions and establishes data paths for industrial data, using a model condition component to satisfy defined data connection criteria and a device interface component to determine and set up data paths for data extraction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If data connections are established without conditional verification, then connection speed is improved, but data quality and reliability deteriorate
Solution Approach 1:
The system performs preliminary evaluation of data connection conditions before establishing data paths. The model condition component assesses whether data sources meet required conditions (such as data quality thresholds, availability status, or compatibility criteria) before the device interface component establishes connections, ensuring reliable data acquisition without compromising connection speed
Solution Approach 2:
The model condition component acts as an intermediary between data sources and the device interface component. It evaluates data connection conditions and provides guidance to the device interface component on which data paths to establish, enabling conditional verification without directly slowing down the connection establishment process
2Quantity of substance
If multiple data paths are established for comprehensive data collection, then data completeness is improved, but system complexity increases
Solution Approach 1:
The system segments the data collection process into distinct functional components: the model condition component that evaluates connection conditions, and the device interface component that establishes data paths. This segmentation allows for organized management of multiple data paths while maintaining system clarity and reducing operational complexity
Solution Approach 2:
The system dynamically determines data paths based on evaluated conditions rather than establishing all possible connections statically. The device interface component adapts which data paths to create based on the model condition component's assessment, enabling comprehensive data collection while avoiding unnecessary connections that would increase complexity
3Reliability
If data connection conditions are strictly verified, then data reliability is improved, but processing time increases
Solution Approach 1:
The model condition component performs partial verification of data connection conditions by assessing only the most critical criteria first. This approach ensures data reliability through essential condition checking while minimizing processing time by avoiding exhaustive verification of all possible conditions
Data Source
AI summary
Conditional industrial data source connection (e.g., using a computerized tool) is enabled. For example, a system can comprise: a memory that stores executable components, and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a model condition component that determines whether a defined data connection condition, applicable to an industrial asset model, has been satisfied; and a device interface component that in response to the defined data connection condition being determined to be satisfied, determines data path information representative of a data path to be traversed to obtain industrial data associated with the defined data connection condition, and establishes a data connection along the data path.